
AI+ for Textual & Discourse Analysis
Analyse Language, Discourse and Meaning with AI
You need to code 300 transcripts. Manually, that's three weeks. With a principled framework, it's three days — and every decision is documented.
You're coding transcripts manually at midnight, knowing you can't finish the corpus before the deadline. Or you've used ChatGPT for summaries but couldn't defend the method in your supervision meeting. AI can scale your analysis — but only if you know where it belongs and where it doesn't. The DECODE Protocol maps six stages of textual and discourse analysis, with over 30 prompt templates spanning content coding, CDA feature extraction, corpus linguistics, narrative mapping, and write-up across four genres. Built by an AI engineering firm for researchers who know how to read texts — and need AI to extend their reach without compromising what makes their analysis intellectually serious.
- 30+ ready-made prompt templates: content coding schemes, CDA feature extraction, KWIC concordance interpretation, narrative structure mapping, and four write-up genres
- The DECODE Protocol — the six-stage AI-assisted discourse analysis framework covering every major tradition from corpus linguistics to conversation analysis
- A validation workflow for AI-assisted coding: training sample, validation pass, inter-rater agreement, and the methods-section attribution paragraph that satisfies peer review
- Comparative corpus analysis: how to map how two institutional corpora represent the same issue — at a scale manual reading can't reach
- A 90-day action plan with month-by-month checks, a personal prompt library, and an AI practice statement for supervision meetings and ethics submissions
Qualitative researchers, communication scholars, linguists, humanities academics, and postgraduate students who analyse texts — interviews, documents, media, social media, policy papers, literary works — and want to use AI to work faster and more rigorously without compromising methodological integrity
Also for:Applied researchers and analysts in policy, NGOs, UX, and market research who regularly work with large volumes of text and need a structured, ethical approach to AI-assisted analysis; journalism and media studies researchers examining discourse in news, social media, or political communication
- Construct, prepare and ethically manage a text corpus for AI-assisted analysis
- Apply the DECODE Protocol to structure an end-to-end textual or discourse analysis project with AI at each stage
- Conduct AI-assisted content analysis, including scheme development, coding, and pattern detection, while preserving analytical integrity
- Apply core discourse analysis methods — critical discourse analysis, corpus linguistics, narrative analysis, frame analysis — with AI as a research assistant
- Write up and report discourse analysis findings, with clear attribution of AI assistance in methods sections
- Diagnostic
- How ready are you to use AI in your textual and discourse analysis?
- Chapter 1
- AI in Textual and Discourse Analysis Right Now
- Chapter 2
- Building and Preparing Your Text Corpus
- Chapter 3
- AI-Assisted Content Analysis and Coding
- Chapter 4
- Critical Discourse Analysis with AI
- Chapter 5
- Corpus Linguistics Techniques
- Chapter 6
- Narrative and Frame Analysis
- Chapter 7
- Conversation and Interactional Analysis
- Chapter 8
- Multimodal and Digital Discourse
- Chapter 9
- Writing Up Textual and Discourse Findings
- Chapter 10
- Your Textual Analysis Action Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for researchers who know how to read texts — and need AI to extend their reach without compromising what makes their analysis intellectually serious.
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